deep learning library

Python1. Theano is a Python class library that uses array vectors to define and calculate mathematical expressions. It makes it easy to write deep learning algorithms in a python environment. On top of it, many classes of libraries have been built.1.Keras is a compact, highly modular neural network library that is desi

Source: http://www.teglor.com/b/deep-learning-libraries-language-cm569Python Theano is a Python library for defining and evaluating mathematical expressions with numerical arrays. It makes it easy-to-write deep learning algorithms in Python. The top of the Theano many mo

Mark, let's study for a moment.Original address: http://www.csdn.net/article/2015-09-15/2825714Python1. Theano is a Python class library that uses array vectors to define and calculate mathematical expressions. It makes it easy to write deep learning algorithms in a python environment. On top of it, many classes of libraries have been built.1.Keras is a compact,

Installation Environment: Win 10 Professional Edition 64-bit + Visual Studio Community.Record the process of installing configuration mxnet in a GPU-equipped environment. The process uses Mxnet release's pre-built package directly, without using CMake compilation itself. Online has a lot of their own compiled tutorials, the process is more cumbersome, the direct use of the release package for beginners more simple and convenient.The reason for choosing mxnet is because I read the "Comparison of

Deep Learning Library packages Theano, Lasagne, and TensorFlow support GPU installation in Ubuntu With the popularity of deep learning, more and more people begin to use deep learning t

bit, the Python-based library actually has a decaf , this is called more thoroughly than PYLEARN2 abandoned building stop development (escape do not know which home the strongest, only know pylearn2 the worst. It took about one months to learn, it was a nightmare, fortunately stopped development. First of all, Pylearn2 can also be ranked among them ... The main topic is Baidu has a hundreds of years ago, "experience post" it. Second, the main questi

###### #编程环境: Anaconda3 (64-bit)->spyder (python3.5)fromKeras.modelsImportSequential #引入keras库 fromKeras.layers.coreImportDense, Activationmodel= Sequential ()#Building a modelModel.add (Dense (12,input_dim=2))#Input Layer 2 node, hide layer 12 nodes (The number of nodes can be set by itself)Model.add (Activation ('Relu'))#Use the Relu function as an activation function to provide significant accuracy Model.add (Dense (1,input_dim=12))#dense hidden layer 12 node, output layer 1 node Model.compil

Introduction to mxnet Deep Learning LibraryAbstract: Mxnet is a deep learning library that supports languages such as C + +, Python, R, Scala, Julia, Matlab, and JavaScript; Support command and symbol programming; Can run on CPU,GPU, clusters, servers, desktops or mobile dev

Preface : 工欲善其事, its prerequisite. Find deep learning data, found a python package:Theano. Then began to study, of course, the best information is the official website documents, did not find a better Chinese document, then recorded. Theano official website Tutorial. Deep learning tutorial:http://deeplearning.net/tutor

//Brownish red # Define gray 0x8430//GreyHere are some drawing functionsQuick Draw PointQuick Draw Point//x,y: coordinate//color: color void Lcd_fast_drawpoint (U16 x,u16 y,u16 color)Draw LineDraw line//x1,y1: Start coordinate//x2,y2: End coordinate void Lcd_drawline (U16 x1, U16 Y1, U16 x2, U16 Y2)Draw a rectangle and give the two endpoint coordinates on the diagonal of the rectangle.Draw rectangle void Lcd_drawrectangle (U16 x1, U16 Y1, U16 x2, U16 Y2)Draw a CircleDraws a specified size cir

OPENCL.Theano, developed by the University of Montreal, is developing a gpuarray backend that provides informal support for OPENCL.DEEPCL, an OpenCL library developed by Hugh Perkins, is used to train convolutional neural networks.For those who have just come into this field and want to choose a tool, our advice is to start with Caffe because it is very common, supportive, and user-friendly. Using the Model Zoo L